Skip to main content
. 2023 Jan 20;23:143. doi: 10.1186/s12889-022-14439-4

Table 3.

Logistic regression models predicting the odds of being vaccinated

Model 1: (Pseudo R2 = 0.15) Model 2: (Pseudo R2 = 0.41)
Odds Ratio (95% CI) p Odds Ratio (95% CI) p
Intercept 0.05 (0.03, 0.09) <  0.001 0.06 (0.04, 0.09) <  0.001
Intervention 2.24 (1.67, 3.00) <  0.001 2.02 (1.49, 2.75) <  0.001
Female (reference category male) 1.04 (0.98, 1.11) 0.223 0.96 (0.87, 1.05) 0.371
3-year old (reference category 2-year old) 0.94 (0.88, 1.01) 0.076 0.91 (0.83, 1.01) 0.067
Previously vaccinated (reference category not previously vaccinated) 3.96 (3.23, 4.85) <  0.001 4.33 (3.28, 5.72) <  0.001
SystmOne 5.77 (3.94, 8.45) <  0.001 5.77 (3.94, 8.45) <  0.001
Intervention *Female 1.16 (1.02, 1.32) 0.024
Intervention*3-year old 1.06 (0.93, 1.21) 0.362
Intervention* Previously vaccinated 0.83 (0.55, 1.24) 0.362
Variation between practices (SD)1 1.10 < 0.001 1.10 <  0.001
Variation between CCG (SD) 2 0.42 <  0.001 0.42 <  0.001
ICC 0.297 0.297

1 The p value displayed by practice is from a log likelihood test between a model that included and omitted the random effect

2 The p value displayed by CCG is from a log likelihood test between a model that included and omitted the random effect